
inPowered AI
AI for Your DSP & Native Channels

Description
inPowered AI is designed to help agencies and brands maximize their media outcomes, specifically within DSP and native advertising channels. By leveraging artificial intelligence, the platform aims to significantly boost campaign performance, reporting potential increases ranging from 50% to 300%. The core of its functionality lies in AI optimization that can be activated programmatically via PMP or integrated directly into Demand-Side Platforms (DSPs).
The system employs proprietary post-click engagement data, gathered over nine years, to train its AI for generating optimal native creative variations tailored to specific KPIs. Users maintain control by reviewing and approving these AI-generated creatives before deployment. Furthermore, inPowered AI deploys custom bidding models trained on impression-level data and its unique engagement data within the client's DSP. These models are designed to maximize chosen outcomes such as traffic, engagement, leads, conversions, or ROAS. This approach also positions the platform as a solution resilient to the phasing out of third-party cookies by predicting outcomes based on impression data rather than relying solely on audience targeting.
Key Features
- AI-Generated Creatives: Automatically generates native creative variations based on post-click engagement data to maximize KPIs, with user review and approval.
- AI Custom Bidding Models: Deploys unique bidding models within your DSP, trained on impression-level and proprietary engagement data, to optimize media efficiency for specific goals.
- KPI Optimization: Aims to deliver significant uplift (average 70% mentioned) across various key performance indicators like traffic, engagement, leads, conversions, or ROAS.
- Cookie-less Performance Prediction: Uses impression-level data analysis to predict outcomes, ensuring continued performance without reliance on third-party cookies.
- DSP Integration & PMP Activation: Offers flexible integration options, either directly into DSPs or programmatically via Private Marketplace (PMP).
Use Cases
- Boosting native advertising campaign performance.
- Maximizing media efficiency for digital ad spend.
- Driving specific campaign goals (traffic, engagement, leads, conversions, ROAS).
- Automating the generation of high-performing native ad creatives.
- Optimizing programmatic ad bidding strategies.
- Future-proofing advertising campaigns against third-party cookie deprecation.
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